The United States of America As Represented by the Administrator of the

Keith Joseph Fritsky

Charles Andrew Miller

Paul M Lemieux

Paul J Chappell

Paul Jeffrey Chappell

Paul M Lemeiux

Ronald L Capone

An artificial neural network is used to predict the current state of a process based upon sensor measurements of the process variables at previous times. The output of the neural network provides the process control system with the predicted process state, thereby reducing the time lag of the sensors and providing improved control of the process.

Method for improving process control by reducing lag time of sensors

An intelligent oxygen injection control system for afterburners which minimizes transient incinerator pollutant emissions while simultaneously minimizing oxygen consumption. A fuzzy logic-based controller utilizes inputs from sensors that measure gas phase pollutant species such as hydrocarbons and carbon monoxide to control oxygen injection and thus minimize pollutant emissions while minimizing oxygen consumption.

Intelligent afterburner injection control to minimize pollutant emissions

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Chapel Hill, NC, United States of America

Keith Joseph Fritsky